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Semiparametric Analysis of the U.S. Labor Force: Quantile Regression with Sample Selection, Dynamic Choice of Education and Mobility

Semiparametric Analysis of the U.S. Labor Force: Quantile Regression with Sample Selection, Dynamic Choice of Education and Mobility
美国劳动力的半参数分析:样本选择、动态选择教育和流动性的分位数回归
批准号:
9320386
负责人:
Moshe Buchinsky
金额:
$9.94万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-03-15 至 1996-08-31

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中文摘要
翻译
9320386 Buchinsky最近的劳动经济学研究致力于了解美国工人的工资结构。本研究使用新开发的分位数回归计量经济学技术,调查男性和女性劳动力的教育回报和经验的变化。该技术描述了整个有条件的工资分配,也允许检查组内的不平等。 分位数回归技术的使用引起了与样本选择偏差相关的严重理论问题。为了处理这一点,第一部分的建议项目是专门的理论推导的渐近性质的分位数回归估计。第二部分提出用非参数方法考察女性劳动力工资结构的变化。该应用程序使用1964年至1992年的人口普查数据。这项实证调查的结果将有助于阐明与女性劳动力的整个条件分布变化有关的重要问题。 项目的第三部分利用第二部分的结果,调查女性劳动力在一段时间内的教育选择。该应用程序使用来自密歇根州收入动态小组研究和国家纵向调查的数据来跟踪个人。 这两项实证分析的结果将有助于解释工资和收入的流动性。如果工资是固定的,那么工资不平等的变化将表明真实的福利影响,否则个人之间的差异将随着时间的推移而趋于平均。 ***
英文摘要
9320386 Buchinsky Much recent research in labor economics is devoted to understanding the wage structure of American workers. This research investigates changes in the returns to schooling and experience for the male and female labor force, using a newly developed econometric technique for quantile regression. The technique describes the entire conditional distribution of wages and also allow an examination of within-group inequality. The use of the quantile regression technique raises serious theoretical concerns related to sample selection bias. In order to handle this, the first part of the proposed project is devoted to the theoretical derivation of the asymptotic properties of the quantile regression estimator. The second part proposes to use nonparametric methods to investigate changes in the female labor force wage structure. The application uses Census of Population Survey data from 1964 to 1992. The findings from this empirical enquiry would shed light on important issues that relate to changes in the entire conditional distribution of the female labor force. The third part of the project uses the results from the second part to investigate educational choices of the female labor force over time. The application uses data from the Michigan Panel Study of Income Dynamics and the National Longitudinal Survey to track individuals over time. The findings from the two empirical analyses would help explain mobility of wages and earnings. If wages are immobile, then changes in wage inequality would be indicative of real welfare implications, otherwise differences among individuals would average out over time. ***
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